6D SLAM with approximate data association

A Nuchter, K Lingemann, J Hertzberg… - ICAR'05. Proceedings …, 2005 - ieeexplore.ieee.org
This paper provides a new solution to the simultaneous localization and mapping (SLAM)
problem with six degrees of freedom. A fast variant of the iterative closest points (ICP) …

6D SLAM with an application in autonomous mine mapping

A Nuchter, H Surmann, K Lingemann… - … on Robotics and …, 2004 - ieeexplore.ieee.org
To create with an autonomous mobile robot a 3D volumetric map of a scene it is necessary
to gage several 3D scans and to merge them into one consistent 3D model. This paper …

6D SLAM-preliminary report on closing the loop in six dimensions

H Surmann, A Nüchter, K Lingemann… - IFAC Proceedings …, 2004 - Elsevier
To create 3D volumetric maps of scenes with autonomous mobile robots it is necessary to
gage several 3D scans and to merge them into one consistent 3D model. This paper …

Linear 2D localization and mapping for single and multiple robot scenarios

F Dellaert, AW Stroupe - … on Robotics and Automation (Cat. No …, 2002 - ieeexplore.ieee.org
We show how to recover 2D structure and motion linearly in order to initialize simultaneous
mapping and localization (SLAM) for bearings-only measurements and planar motion. The …

6D SLAM—3D mapping outdoor environments

A Nüchter, K Lingemann, J Hertzberg… - Journal of Field …, 2007 - Wiley Online Library
Abstract 6D SLAM (simultaneous localization and mapping) or 6D concurrent localization
and mapping of mobile robots considers six dimensions for the robot pose, namely, the x, y …

Globally consistent 3D mapping with scan matching

D Borrmann, J Elseberg, K Lingemann… - Robotics and …, 2008 - Elsevier
A globally consistent solution to the simultaneous localization and mapping (SLAM) problem
in 2D with three degrees of freedom (DoF) poses was presented by Lu and Milios [F. Lu, E …

[PDF][PDF] Consistent, convergent, and constant-time SLAM

J Leonard, P Newman - IJCAI, 2003 - web.mit.edu
This paper presents a new efficient algorithm for simultaneous localization and mapping
(SLAM), using multiple overlapping submaps, each built with respect to a local frame of …

Using laser range data for 3D SLAM in outdoor environments

DM Cole, PM Newman - Proceedings 2006 IEEE International …, 2006 - ieeexplore.ieee.org
Traditional simultaneous localization and mapping (SLAM) algorithms have been used to
great effect in flat, indoor environments such as corridors and offices. We demonstrate that …

A computationally efficient solution to the simultaneous localisation and map building (SLAM) problem

G Dissanayake, H Durrant-Whyte… - Proceedings 2000 ICRA …, 2000 - ieeexplore.ieee.org
The theoretical basis of the solution to the simultaneous localisation and map building
(SLAM) problem where an autonomous vehicle starts in an unknown location in an unknown …

Treemap: An O(log n) Algorithm for Simultaneous Localization and Mapping

U Frese - International Conference on Spatial Cognition, 2004 - Springer
This paper presents a very efficient SLAM algorithm that works by hierarchically dividing the
map into local regions and subregions. At each level of the hierarchy each region stores a …